[1] De Leon, A.R. and Carrière, K.C. (2007). General mixed-data model: Extension of general location and grouped continuous models. The Canadian Journal of Statistics, 35, 533 - 548. 43 تحلیل پاسخهای آمیختهی گسسته و پیوستهی ردهبندی شده [2] Welch, B.L. (1939). Note
on discriminant functions. Biometrika, 31, 218–220. [3] Tate, F.R. (1954). Correlation between discrete and continuous variables: Point-Biserial correlation. Ann. Math. Statist., 25, 603- 607. [4] Cox, D.R. and Wermuth, N. (1992). Response models for mixed
binary and quantative variables. Biometrika, 79(3), 441-461. [5] Catalano, P. and Ryan, L.M. (1992). Bivariate latent variable models for clustered discrete and continuous outcomes. Journal of the American Statistical Association, 87, 651-658. [6] De Leon, A.R., Soo, A. and Williamson, T. (2011). Classification with discrete and continuous variables via general mixed-data models. Journal of Applied Statistics, 5 (38) , 1021-1032. [7] Trivedi, P. and Zimmer, D. (2006). Copula modelling in econometrics: Introduction to practitioners. Wiley, New York. [8] Faes, C., Aerts, M., Molenberghs, G., Geys, H., Teuns, G. and Bijnes, L. (2008). A high-dimensional joint model for longitudinal outcomes of different nature. Stat. Med., 27, 4408-4427. [9] Molenberghs
, G . and Verbeke , G . (2005) . Models for Discrete Longitudinal Data. Springer-Verlag . New York . [10] Sammel, M.D. Ryan, L.M. and Legler J.M. (1997). Latent variable models for mixed discrete and continuous outcomes. Journal of the Royal Statistical
Society, B, 59, 667–678. [11] Joe , H . (1995) . Approximations multivariate normal rectangle probabilites based on conditional expectation . Journal of the American Statistical Association , 90 : 957-967. [12] Johnson, R.A. and Wichern, D.W. (2007). Applied multivariate statistical analysis. 6th ed., Prentice Hall. New York.
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